Jobs Data Analyst

Stay Group is an innovative marketing company building and scaling products in the iGaming and entertainment industry.

We are looking for a Product Analyst who will play a key role in driving product and business decisions through data.

This role sits at the intersection of product, marketing, and analytics, helping teams understand performance, identify growth opportunities, and make data-driven decisions.

Responsibilities:

Data & Analytics

• Extract, maintain, and ensure quality of data across multiple sources
• Conduct deep-dive analysis to identify trends, patterns, and opportunities
• Build dashboards and visualizations for product and business teams

Product & Marketing Analysis

• Analyze product funnels, retention, and user behavior
• Evaluate marketing performance (channels, campaigns, budgets, KPIs)
• Work with metrics like CAC, LTV, attribution, cohorts

Reporting & Insights

• Prepare регулярні звіти по продукту та бізнес-метрикам
• Provide actionable insights and recommendations
• Support stakeholders with data for decision-making

Automation & Optimization

• Automate reporting and recurring data processes
• Improve reporting systems and data workflows
• Increase efficiency and reduce manual operations

Cross-functional Work

• Work closely with product, marketing, and business teams
• Translate business needs into analytical задачі
• Support product development through data insights

Additional Responsibilities

• Analyze partner network performance and identify growth opportunities
• Evaluate the impact of product changes before and after release
• Monitor payment-related issues and anomalies

Requirements:

• 3+ years of experience as Data / Product / Business Analyst
• Strong ownership mindset: from request → analysis → impact
• Advanced SQL (joins, CTEs, window functions, optimization)
• BI tools (Tableau / Power BI / Looker / etc.)
• Python (pandas, APIs, automation scripts)
• Experience with DWH (BigQuery, ClickHouse, Snowflake, etc.)
• Product metrics: retention, funnels, cohorts
• Marketing metrics: CAC, LTV, ROMI, attribution
• A/B testing and statistical evaluation

Benefits:

• Freedom to choose where to work: work from anywhere in the world with the freedom of remote options, or join our dynamic office in Kyiv for an inspiring in-person experience.
• Flexibility: enjoy flexible working hours that let you balance your personal and professional life while staying focused on delivering great results.
• Corporate English speaking club: improve your English proficiency with regular practice and expert guidance.
• A Culture That Cares: thrive in a friendly environment where a strong corporate culture builds connections, drives innovation, and makes you feel truly valued.
• Accelerate Your Growth: seize career advancement opportunities in a rapidly expanding marketing company. As the company scales, so will your professional journey.

We’re looking for a Product Data Analyst who can transform data into clear product direction in a fast-scaling environment. In this role, you’ll help shape how Zeely grows across user flows, experiments, and core product decisions — uncovering insights, identifying bottlenecks, and enabling smarter, data-driven decisions at every step.

Zeely AI is an all-in-one AI marketing platform that helps small businesses and marketing teams grow faster and achieve their goals through high-performing content and automation. Our platform enables users to create ad creatives, UGC videos, viral content, banners, and more, as well as launch effective paid and organic campaigns across Meta channels.

In simple terms, we’ve made world-class AI marketing tools and solutions accessible to businesses that previously could only get this level of support from large brands with expensive marketing teams.

A few things that define where we are today:

• 4 years on the market — a stable, profitable company backed by top international investors;

• 4x growth over the past year;

• 1,000,000+ businesses already use Zeely, and that number keeps growing every day;

• Top 3 in our category in the US market;

• 150+ specialists on the team;

• US-focused, with a global user base.

Your challenges:

• Uncover patterns in user behavior and product engagement;

• Evaluate acquisition and activation funnels;

• Turn data into product insights and growth hypotheses;

• Build decision-support dashboards (e.g., in Tableau);

• Run and analyze A/B tests with product teams;

• Establish strong analytics practices across the company.

You’re a match if you have:

• 3+ years in Data/Product Analytics;

• Solid SQL skills & experience with relational databases;

• Proficiency with Tableau, Looker, Power BI, or similar;

• Good grasp of statistics and experimentation (A/B tests);

• Understanding of product/growth metrics and LTV modeling;

• Intermediate+ English.

Bonus points for:

• Experience with pandas/numpy;

• Working knowledge of ETL processes or dbt.

Why It’s Exciting to Work With Us:

• Build AI-powered tools with real impact, helping over one million small businesses grow, compete, and launch ads without agencies or complex marketing setups.

• Join a strong A-level team of experienced professionals who set a high bar and push each other to do better work.

• Remote-first approach: work from anywhere, with access to our offices in Warsaw and Kyiv.

• We take care of the essentials. Paid time off, sick leaves, and financial support with private entrepreneurship matters.

• Regular performance reviews to ensure your growth is transparent and rewarded.

Process:

Recruiter Call → Hiring Manager Interview → Test Task → Team Interview → Reference check → Offer.

Ready to join one of the fastest-growing AI startups in Eastern Europe?

Let’s talk.

THE ROLE

You will be the analytical owner of your product domain- turning data into decisions for Product, R&D, Operations, and Business teams. Day to day, you will work hands-on in SQL and BI tools, partner closely with PMs and engineers, and help shape the strategic direction of the product through evidence.

WHAT YOU'LL DO

• Own all analytical aspects of your assigned product domains.
• Build and maintain reports, dashboards, and metrics, and monitor the integrity and validity of the data behind them
• Use analytical tools, data mining, and business logic to consult the Product team on day-to-day questions and decisions 
• Analyze and optimize products and activities- take part in design and implementation as a key voice in strategic product decisions
• Own and manage multiple data initiatives and projects, both ongoing and ad-hoc
• Define alerts and monitor performance to improve process efficiency
• Provide supporting data to help prioritize new features and initiatives 

• Work closely with Product, R&D, Operations, and Business teams

   

WHAT YOU'LL NEED (must-have)

• 4+ years in a Product / Data / Business / Operations Analyst role in a data-rich environment 
• Current position MUST be an analyst role at a tech company (no finance, banking, or insurance backgrounds) 
• Excellent SQL - daily, hands-on query writing. This is not a role where SQL is occasional; expect to live in it.
• Strong verbal English (B2+ or higher). You will present findings to PMs, engineers, and business stakeholders directly in English every week - fluency matters.
• Excellent communication skills - the ability to deliver the results of an analysis clearly, concisely, and confidently 

• Proven experience using AI tools in your analytics workflow (e.g. ChatGPT, Claude, Gemini, or similar for query generation, data exploration, or summarization)

   

NICE TO HAVE (advantage, not required)

• Hands-on experience with Tableau, Power BI, or Looker
• Experience analyzing datasets via an LLM tool

• Passion for sports

   

WHO THIS IS NOT FOR

• Analysts coming from finance, banking, or insurance -we are looking specifically for tech / SaaS / product backgrounds
• Anyone whose English is below confident B2; this role is stakeholder-facing in English daily
• SQL-light profiles- if you write a few queries a week rather than every day, this role will not fit

Офіс ефективного регулювання BRDO - незалежний аналітичний центр, який працює над створенням ефективного регулювання, розвитком прозорих правил взаємодії держави табізнесу й впровадженням системних реформ в Україні.  
Ми шукаємо Дата-аналітик (Data Analyst), який долучиться до запуску бази цін на будівельну продукцію та інші матеріальні ресурси у межах проєкту цифровізації та реформування системи ціноутворення у будівництві.
Ця роль - для фахівця, який має практичний досвід роботи з великими масивами структурованих даних, таблицями, довідниками, номенклатурами або реєстрами та хоче працюватинад системними змінами на національному рівні. Ви будете відповідати за підготовку, упорядкування, зведення та технічне опрацювання даних, необхідних для запуску системи, їїперевірки, наповнення та подальшої стабільної роботи.

Основні задачі:

• Збір, зведення та впорядкування даних з основних джерел проєкту, зокрема з Prozorro, Prozorro Market, договорів, прайс-листів виробників і постачальників, звітів з аналізу цін таінших погоджених джерел; 
• Підготовка робочих наборів даних для завантаження в систему та для її перевірки на етапах налаштування і запуску; 
• Приведення даних з різних джерел до єдиної структури: уніфікація назв, одиниць виміру, форматів дат, характеристик продукції, позначень виробників і регіональної прив’язки; 
• Первинне зіставлення позицій із зовнішніх джерел із класифікатором будівельної продукції та виявлення випадків, де таке зіставлення потребує уточнення; 
• Підготовка таблиць відповідності, перехідних таблиць між версіями класифікатора та інших допоміжних таблиць для завантаження і технічного використання; 
• Виявлення технічних проблем у наборах даних: дублювань, пропусків, помилок у форматах, неузгоджених назв, неправильних одиниць виміру, записів без достатньоїідентифікації; 
• Підготовка тестових наборів даних для перевірки завантаження, відображення, довідників, перевірок при внесенні даних і журналювання подій у системі; 
• Участь у формуванні вимог до структури завантаження даних: обов’язкових полів, допустимих значень, форматів подання та переліку помилок, які мають виявлятися системою; 
• Перевірка придатності підготовлених наборів даних до завантаження в систему; 
• Супровід запуску каналів наповнення системи даними та допомога у виявленні проблем у структурі, форматі та складі даних; 
• Участь у технічній перевірці обробки даних під час випробувань системи та після запуску; 
• Фіксація проблем, пов’язаних із даними або їх обробкою, та підготовка прикладів для виправлення; 
• Підготовка зведеної інформації про стан готовності даних до запуску системи та про проблемні категорії, що потребують доопрацювання. 

• Досвід роботи з великими таблицями, наборами даних, довідниками, номенклатурами, реєстрами або каталогами; 
• Практичний досвід зведення, очищення, упорядкування та підготовки даних до завантаження або подальшої обробки; 
• Впевнене володіння Excel та Google Sheets, досвід роботи з SQL, запитами до баз даних або іншими інструментами технічної обробки даних; 
• Бажано - навички роботи з Power BI та знання Python; 
• Розуміння принципів роботи зі структурованими файлами, полями, форматами, кодами, одиницями виміру та таблицями відповідності; 
• Уважність до деталей і здатність системно працювати з повторюваними масивами інформації; 
• Вміння описувати помилки в даних зрозуміло для технічної та нетехнічної команди; 
• Буде перевагою досвід у сферах закупівель, будівництва, кошторисної справи, ціноутворення або державних інформаційних систем; 
• Буде перевагою досвід роботи з класифікаторами, довідниками продукції або каталогами товарів. 

• Досвід участі у проєктах цифровізації державних процесів; 
• Досвід роботи з даними з кількох джерел одночасно; 
• Розуміння логіки роботи державних електронних систем, реєстрів та інтеграцій; 
• Досвід підготовки даних для тестування інформаційних систем. 

• Участь у реформі національного рівня та запуску нової цифрової моделі роботи з ціновими даними у будівництві; 
• Можливість безпосередньо впливати на якість і придатність даних, на яких працюватиме система; 
• Середовище, де поєднуються аналітика, цифровізація, державна політика та практична реалізація реформи; 
• Гнучкий формат роботи: remote / hybrid, офіс у центрі Києва. 

Ever looked at a funnel and immediately knew what needed to be changed to improve performance?

Not because a dashboard told you something was wrong - but because you understand how traffic, offers, landing pages, user behavior, and conversion data work together.

Do you enjoy testing new angles, replacing underperforming funnels, analyzing conversion drops, and making data-driven decisions that directly impact profitability?

Can you spot patterns inside Keitaro, identify bottlenecks, and quickly turn insights into actions for media buyers, copywriters, and designers?

If you thrive in fast-moving performance marketing environments where testing, optimization, and scaling happen every day - this role is for you.

About the Company

We are an international performance marketing company focused on building and scaling high-converting acquisition funnels across multiple markets and traffic sources.

Our business is driven by data, testing, and continuous optimization. We work with paid traffic, landing pages, advertorials, offers, creatives, and conversion funnels - constantly searching for opportunities to improve performance and maximize ROI.

We don't believe in "set it and forget it."

Every funnel can be improved. Every metric tells a story.  Every test creates an opportunity to scale.

The Role

We are looking for a CRO Specialist / Funnel Manager to take ownership of our funnel performance and optimization process.

You will sit at the intersection of data and creative execution, working closely with media buyers, copywriters, and designers to improve conversion rates and campaign profitability.

What You'll Do

Funnel & Traffic Management

• Set up, manage, and optimize funnels inside Keitaro or similar tracking platforms
• Manage landing pages, offers, redirects, postbacks, and traffic distribution
• Monitor funnel performance and optimize traffic flows based on results

Testing & Optimization

• Develop and execute A/B testing strategies
• Test headlines, landing pages, CTAs, advertorials, and funnel angles
• Analyze results, identify winning variations, and scale what works
• Quickly eliminate underperforming elements

Performance Analysis

• Monitor key metrics including CTR, CR, CPA, RPC, ROI, and funnel drop-off rates
• Identify trends, bottlenecks, and opportunities to improve conversion performance
• Turn performance data into clear optimization recommendations

Cross-Functional Collaboration

• Partner with media buyers to improve traffic quality, conversion rates, and campaign profitability
• Work closely with copywriters and designers to optimize messaging, creatives, and user journeys
• Help transform data insights into higher-converting funnels and acquisition assets

What You Bring

Must Have

• Experience working as a CRO Specialist, Funnel Manager, Performance Marketing Specialist, or similar role
• Hands-on experience with Keitaro (preferred), Voluum, Binom, or comparable tracking platforms
• Strong understanding of affiliate marketing, direct-response marketing, lead generation, or media buying environments
• Experience running and evaluating A/B tests
• Strong analytical skills with the ability to interpret data and make quick optimization decisions
• Understanding of conversion funnels, attribution, and tracking systems
• Ability to identify statistically meaningful trends and translate them into actions
• Comfortable working in a fast-paced, performance-driven environment

Nice to Have

• Basic HTML, CSS, or JavaScript skills for making landing page adjustments
• Experience with competitive intelligence and spy tools such as AdSpy, Anstrex, or similar platforms
• Experience working with high-volume paid traffic campaigns
• Familiarity with multiple traffic sources and acquisition channels

What You Get

• Direct Impact: Your decisions directly influence conversion rates, campaign profitability, and business growth.
• Performance-Focused Culture: Work in an environment built around testing, optimization, and measurable results - not unnecessary meetings and bureaucracy.
• Ownership & Autonomy: Take responsibility for funnel performance and have the freedom to implement ideas quickly.
• Continuous Learning: Collaborate with experienced media buyers, analysts, and creative teams while deepening your expertise in CRO, funnel optimization, and performance marketing.
• International Team: Join a global team working across multiple GEOs, traffic sources, and acquisition strategies.

Ready to Optimize What Others Miss?

If you enjoy finding bottlenecks, launching tests, analyzing user behavior, and turning funnel data into profitable growth —

👉 Apply now and help us build conversion systems that scale.

N-iX is a software development service company that helps businesses across the globe develop successful software products. Founded in 2002, N-iX has come a long way and increased its presence in nine countries -  Poland, Romania, Ukraine, Bulgaria, Sweden, Malta, the UK, the US, and Colombia. Today, we are a strong community of 2,000+ professionals and a reliable partner for global industry leaders and Fortune 500 companies.

We are looking for a Middle HRMS Configurator/People Analyst to join our HR CoE.
In this role, you’ll help shape and configure HR processes across the company, transforming the N-iXer lifecycle into a seamless, personalized experience.

Responsibilities:

• Gathering and analyzing current-state data and performance indicators to identify process gaps ahead of system implementation
• Brainstorming and redesigning HR processes: from document flows to performance reviews and self-service forms - every step of the N-iXer journey
• Configuring and replicating workflows and other HRMS components
• Validating and resolving configuration issues and errors
• Testing business scenarios and collecting UAT feedback
• Mapping and migrating legacy and current people data
• Supporting access setup and integration testing

Requirements:

• 2+ years of relevant experience with system configuration, people data analysis, process design and quality assurance
• Advanced user of Google Sheets/Excel, or similar analytical tools, with strong analytical skills and keen attention to detail
• Intermediate or higher level of English
• A proactive, reliable self-starter who thrives both independently and in collaborative settings
• Strong problem-solving skills with the ability to dig deep, stay curious, and persist until the issue is fully resolved

Nice to have:

• Experience in leading process transformation initiatives
• Hands-on involvement in implementing or configuring HRMS, ERP, CRM, or ATS platforms
• Interest or experience in creating communication plans and creating engaging content (videos, presentations, visuals)

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

We are looking for talented Data Analyst with a passion for managing, analyzing and visualizing data to find actionable Insights and help improve outcomes for our business and internal customers.

Responsibilities:

•Deep-dive analysis of subscriber-data from large databases;

•Writing and running SQL queries to retrieve data from databases;

•Monitoring and auditing accuracy and completeness of collected data;

•Organizing data into usable formats;

•Generating information and insights from data and identifying trends and patterns;

•Conducting A/B tests to understand and evaluate quality of data models;

•Creating data dashboards, graphs and visualizations;

•Developing and maintaining automated data processes.

Requirements:

•Experience with SQL queries and data aggregation;

•Experience SQL / PLSQL programming;

•Excellent knowledge and confident Excel user;

•Skills to optimize SQL queries;

•Experience in developing analytical reports and interactive dashboard in Power BI;

•Financial and analytical data presentation skills;

•Gaining knowledge from a large amount of data;

•Basic knowledge of statistics;

•Jira, Confluence;

•Experience in Machine Learning and Big Data technologies (as a plus).

We offer:

•A unique experience of working for the largest and most beloved mobile operator in Ukraine;

•Real opportunity to ship digital products to millions of customers;

•Remote work with possibility to visit the office;

•Onboarding program which can help with fast on-line adaptation;

•A competitive salary;

•Annual bonus;

•Paid sick leave and vacation;

•Financial aid in different life situations;

•Flexible working hours;

•Medical and life insurance;

•Great possibilities for professional development and career growth;

•Friendly & collaborative environment.

       We are an international iGaming holding, actively growing and now launching a new online casino project on the LATAM market, with an emphasis on Argentina.

       We are looking for a data-driven and creative Retention CRM Manager to take ownership of player lifecycle management and CRM communications. You will develop retention strategies, design and execute multi-channel campaigns (email, SMS, push, in-app), and drive personalization and automation that maximize player LTV, reduce churn, and increase revenue.

Key Responsibilities:

• Develop and execute CRM and retention strategies tailored for online casino players
• Segment player base by key parameters (LTV, deposit frequency, activity, geo, etc.)
• Plan, launch, and optimize multi-channel CRM campaigns (email, SMS, push, in-app, WhatsApp, Telegram, etc.)
• Monitor, analyze, and improve retention funnels and player engagement metrics.
• Collaborate with Marketing, Analytics, and Product teams to create personalized offers and promotions.
• Track and optimize KPIs such as Retention Rate, Reactivation Rate, Churn Rate, ARPPU, LTV.
• Run A/B tests and implement data-driven improvements.
• Support local marketing activities for LATAM players.
  
   

Requirements:

• 2+ years of experience as a Retention Manager / CRM Manager in iGaming
• Experience with the GR8 Tech platform is mandatory
• Hands-on experience with CRM tools (Optimove, Smartico, Salesforce, Ometria, Emarsys or similar).
• Strong analytical skills and experience with BI tools (Tableau, Power BI, Looker).
• Expertise in customer segmentation and building user journeys.
• Deep understanding of retention and monetization metrics in iGaming.
• English (B2+) is required; Spanish is a strong advantage (especially for LATAM).
• Creativity and ability to generate engaging and relevant content for different audiences.
   

What we offer:

• Opportunity to become part of the launch of a large international project
• Freedom of action and influence on the brand strategy
• Work in a multicultural team of professionals
• Competitive remuneration and bonus system
• Prospects for career and professional growth within a large holding
• Remote work format
• Health and leisure care: paid vacation and sick leave 
• Quick decision making and freedom from micromanagement
   
   Are you ready to create a brand that will be a leader in LATAM? Then join the best and shape the future of the iGaming industry with us! 🚀

About the company:
       Our LATAM iGaming startup is more than a business, it is a place where ideas, talents and opportunities meet. 🤝
      As part of an international holding, we bring global expertise in the gaming industry to the Latin American market, while remaining close to the culture and needs of players.

       You can grow with us, influence the outcome and shape the gaming experience of the future.💯

Readdle is a pioneering force in the personal productivity space on Apple devices, having shaped the landscape since 2007. Our mission is to empower individuals and teams with innovative technology, enhancing their efficiency and creativity. We are dedicated to crafting exceptional mobile and desktop experiences for those who aspire to achieve more.
 

As a Senior Growth Analyst at Readdle, you’ll own the numbers behind how Spark grows. From the first ad impression to long-term renewals, you’ll make sense of the data, design event structures, and ensure everything is measurable. You’ll dig into funnels, uncover insights, and build dashboards that make growth performance crystal clear for product and marketing teams.

What will you do:

• Transform and analyze large datasets in BigQuery and Amplitude to uncover trends, anomalies, and actionable insights across the user journey.
• Build and maintain self-serve dashboards in Tableau and Google Sheets that reduce ad-hoc reporting requests and establish a clear source-of-truth for growth metrics.
• Define, document, and QA event structures for new features, campaigns, and experiments; build a robust monetization measurement system to support pricing and migration decisions.
• Analyze user funnels across ads, store, onboarding, in-app usage, purchases, and cancellations to identify drop-offs and growth opportunities.
• Design and monitor A/B experiments and feature launches; validate results and ensure long-term impact tracking.
• Proactively surface insights, hypotheses, and growth opportunities to marketing and product teams; shape quarterly prioritization with impact scenarios to influence roadmap decisions.
• Build forecasting and scenario models for installs, conversions, retention, and revenue.
• Ensure data integrity across tools and pipelines through established QA processes; work with Appsflyer to track attribution and optimize acquisition reporting.

About you:

• 5+ years in growth, product, or marketing analytics in a B2C or SaaS environment, with experience supporting pricing, monetization, or migration initiatives in subscription-based products.
• Strong SQL skills and experience with BigQuery or similar cloud data warehouses (Redshift, Snowflake); proficiency in Tableau and/or Amplitude for dashboards and complex data visualization.
• Experience with Appsflyer or other attribution platforms; familiarity with Python for data analysis and automation is a strong plus.
• Solid understanding of product analytics (funnels, cohorts, retention, event tracking), statistics, A/B testing, and concepts like segmentation, churn, or LTV modeling.
• Proven ability to design self-serve dashboards and act as a strategic thought partner to PM/PMM teams, not just an executor of analytics requests.
• Comfortable working cross-functionally with product, marketing, and engineering teams with a proactive, curious, and coachable mindset.

What you will get at Readdle:

• Customer-centric culture. We put our users at the heart of everything we do. Every team member has the opportunity to engage directly with customers, gaining insights that shape meaningful, delightful experiences for millions worldwide.
• Relentless growth. We’re committed to mastery in our craft. We take ownership of our work, decisions, and outcomes, and we see feedback as a catalyst for growth. Every challenge is an opportunity to learn, evolve, and raise the bar.
• Exceptional people, exceptional team. Our greatest strength is our people. We care deeply about each other, work transparently, and celebrate collective success. Together, we build an environment where everyone can do their best work and grow beyond their potential.
• Real impact. We design products that truly matter. Our focus is on delivering tangible value, simplifying complexity, pushing boundaries, and continuously improving how we build and deliver solutions to our users.
• Culture of innovation. We embrace curiosity and creativity in everything we do. Fresh ideas are not just welcomed, they’re expected, celebrated, and turned into real innovations that shape the future of our products and company.

We are looking for a Senior Product Analyst who will build the analytics function from zero, owning everything from event taxonomy and tracking plan to the warehouse architecture and the Tableau dashboards the product team checks every morning. You will be a true partner to the product team: co-author of product decisions, not a ticket-executor. You will shape hypotheses, run experiments, find the Aha Moments for different user segments, and ensure that every roadmap decision is grounded in data.

Requirements:

• 5+ years as a product / data analyst, including 3+ years in B2B SaaS
• Expert-level Amplitude, including hands-on implementation from scratch (event taxonomy, tracking plan, QA), not just using a pre-configured instance
• Expert-level Tableau, complex dashboards, LOD expressions, performance optimization, dashboard design for non-technical stakeholders
• Expert SQL, complex queries, window functions, data modeling for analytics use cases
• Proven experience building product analytics from zero: tracking plan, event taxonomy, naming conventions, data architecture
• Deep understanding of SaaS / PLG metrics: MRR, ARR, NRR, GRR, cohort retention, LTV, CAC, payback period, activation rate, expansion revenue
• Hands-on A/B testing experience: hypothesis design, power calculation, statistical significance, post-launch impact analysis
• Familiarity with the modern data stack: warehouse (BigQuery/Snowflake/Redshift), ELT (Fivetran / Airbyte), transformation layer (dbt)
• English: Upper-Intermediate or higher (written and spoken)

Strongly preferred:

• Experience in a PLG product with a self-serve trial model
• Python for deeper analysis, automation, and statistical work
• Hands-on with FastSpring or similar merchant of record platforms: subscriptions, MRR movements, refunds, failed payments
• Experience selecting and implementing an analytics stack end-to-end
• Familiarity with the sales-tech/outreach/LinkedIn automation space

Responsibilities:

• Design and document event tracking structure, tracking plan, and naming conventions aligned to real business questions
• Implement Amplitude from scratch, spec requirements with engineering, QA events, configure charts and dashboards
• Design and build the data pipeline: product events + backend DB + payment system -> warehouse -> Tableau
• Make foundational decisions on the full analytics stack (warehouse, ELT, transformation layer) with full ownership
• Become a true partner to the product owners, co-author of product decisions, not a ticket-executor
• Participate in discovery: shape hypotheses, design experiments, identify user segments' Aha Moments
• Run end-to-end A/B testing: hypothesis, sample sizing, statistical significance, post-launch impact analysis
• Inform roadmap prioritization with data; push back when the data says otherwise
• Identify the Aha Moment for different segments: sales reps, recruiters, agencies
• North Star metric + supporting KPIs dashboard
• Funnel analytics: registration -> activation -> trial -> paid -> retention -> expansion
• User Base Overview and Account Base Overview with drill-down by status and company
• Activation flow with step-by-step drop-off and time-on-step visualization
• Cohort retention, feature adoption, MRR movement (new/expansion/churn/contraction/reactivation)
• Build dashboards across the full customer lifecycle, from acquisition and activation to retention, expansion, and churn
• Build the analytics workflow: how requests come in, how insights flow back, how they feed into roadmap
• Create and maintain a metrics dictionary, data definitions, and ownership documentation
• Drive a self-serve culture, enable PMs to pull their own data without analyst bottlenecks

Work conditions:

• 100% remote position, providing flexibility and work-life balance.
• Competitive salary reflecting your skills and expertise.
• 24 days of paid vacation per year to recharge and relax.
• 10 days of paid sick leave.
• Educational opportunities.
• Compensation budget for medical and hobby/sport expenses.
• Generous budget for birthdays and anniversaries.
• Online and offline team events.
• A collaborative and innovative work environment with passionate team members.
   

Hiring process:

✅ Interview with Recruiter — ✅ Test Assignment — ✅ Final Interview with Head of Product and Operations — ✅ Reference Check — ✅ Offer 🎉

About the company

Turning marketing into a market-domination weapon, we created a new category - the marketplace for future customers. Businesses shop for leads as they shop for products in e-commerce: you see everything about a lead before you buy - full transparency, control, and predictable outcomes. We’re the #1 lead marketplace in the USA, and we’re accelerating.

Role overview

We are looking for a Senior Financial Data Analyst / FP&A Business Partner who will help us understand where the business makes money, where profit is lost, and which decisions can improve margins, cash flow, and overall performance. You will work closely with founders, finance, product, operations, and business teams to turn financial and operational data into clear recommendations. This role exists to help leadership make faster, better decisions based on real business numbers.

🔧 What You’ll Be Doing:

• Build and improve executive dashboards that show revenue, profit, margins, COGS, OpEx, refunds, payouts, cash flow, and key business metrics
• Analyze profitability across products, customers, providers, geographies, channels, lead sources, and operational workflows
• Create P&L analysis, gross margin analysis, contribution margin analysis, unit economics models, forecasts, and scenario analysis
• Identify cost leaks, overspending, inefficient vendors, payment issues, margin risks, and other areas where the business can improve profit
• Partner with finance, accounting, product, operations, sales, and marketing teams to connect business activity with financial outcomes
• Reconcile business data with invoices, payouts, payment systems, taxes, accounting records, and financial reports
• Present clear recommendations to founders and senior leadership on pricing, cost optimization, product profitability, hiring, and growth decisions

✅ What Makes You a Strong Fit:

• 6-8+ years of experience in financial analytics, FP&A, data analytics, business analytics, or a similar role
• Strong experience with financial modeling, P&L analysis, unit economics, budgeting, forecasting, and variance analysis
• Expert-level SQL and strong hands-on experience with BigQuery
• Strong experience with Looker, Power BI, Tableau, or similar BI tools
• Advanced Excel or Google Sheets skills for financial modeling, reporting, and scenario analysis
• Good understanding of accounting basics, financial statements, revenue, COGS, OpEx, gross margin, contribution margin, and cash flow
• Clear communication in English, both spoken and written, with the ability to explain financial insights to founders, business teams, and non-finance stakeholders

➕ Bonus if you have:

• Experience with Python or another scripting language for data analysis and reporting automation
• Experience with payment systems, accounting systems, CRM, ERP, Stripe, QuickBooks, Xero, NetSuite, or similar tools
• Experience in marketplace, SaaS, fintech, real estate, lead generation, or performance marketing businesses
• Experience working directly with founders or senior leadership in a fast-moving business environment

🎁 Why You’ll Love It Here:

• You’ll work at the core of a product-led, AI-powered startup where data drives every decision
• Your work will ship fast and impact thousands of users
• High autonomy, low bureaucracy: we trust you to own your domain
• Remote-first culture with flexible hours and async-friendly communication
• Salary (fixed base) ABOVE the market average
• A smart, passionate team that moves fast, supports each other, and builds cool stuff
• 15 paid vacation days plus 5 paid sick days annually
• Paid access to courses, books, and growth resources
• Real decision-making power and ownership of your results

Our client is lооkіng fоr Senіоr Prоduct Аnаlysts tо jоіn their grоwіng аnаlytіcs teаm (30+ prоfessіоnаls).

Іn thіs rоle, yоu wіll drіve tаngіble busіness іmpаct by delіverіng hіgh-quаlіty іnsіghts аnd recоmmendаtіоns, leverаgіng yоur аbіlіty tо cоmbіne strаtegіc thіnkіng аnd prоblem-sоlvіng wіth detаіled аnаlysіs. Yоu wіll cоllаbоrаte clоsely wіth Prоduct Mаnаgers аnd crоss-functіоnаl teаms, uncоverіng busіness іnsіghts, devіsіng оptіmіzаtіоn strаtegіes, аnd vаlіdаtіng them thrоugh experіments.

Whаt Yоu’ll Dо

• Cоnduct deep-dіve аnаlyses аnd delіver аctіоnаble іnsіghts tо іmprоve prоduct perfоrmаnce.
• Аnаlyze lаrge-scаle dаtаsets (funnel events, trаnsаctіоnаl, аnd text dаtа) tо іdentіfy grоwth оppоrtunіtіes.
• Desіgn аnd іnterpret А/B tests, MАB experіments, аnd hypоthesіs-drіven аnаlyses.
• Trаck аnd іmplement key busіness metrіcs tо suppоrt decіsіоn-mаkіng.
• Wоrk wіth cuttіng-edge tооls, іncludіng Bаyesіаn stаtіstіcs, ML mоdels, аnd LLMs.
• Cоllаbоrаte wіth а lаrge аnd hіghly skіlled Аnаlytіcs teаm, fоsterіng а knоwledge-shаrіng envіrоnment.

Whаt We’re Lооkіng Fоr

• 5+ yeаrs оf experіence іn prоduct аnаlytіcs, preferаbly іn e-cоmmerce оr custоmer experіence prоducts.
• Prоfіcіency іn SQL, wіth the аbіlіty tо wrіte cоmplex querіes tо extrаct іnsіghts аnd suppоrt decіsіоn-mаkіng.
• Strоng prоfіcіency іn Excel fоr аnаlysіs аnd busіness mоdelіng.
• Experіence wіth Pоwer BІ (Tаbleаu experіence іs аlsо cоnsіdered).
• Expertіse іn Descrіptіve аnd Іnferentіаl Stаtіstіcаl Аnаlysіs, А/B testіng, аnd Hypоthesіs Testіng, wіth а prоven аbіlіty tо аnаlyze results.
• Fаmіlіаrіty wіth Gооgle Аnаlytіcs, BіgQuery, Pythоn/R, аnd ML іs desіrаble.
• Excellent cоmmunіcаtіоn skіlls, wіth cоnfіdence іn іnterаctіng аcrоss аll levels оf mаnаgement аnd dіverse busіness functіоns.
• Englіsh prоfіcіency(аt leаst strоng upper-іntermedіаte level).

Why Jоіn the team?

• Hіgh-Іmpаct Dаtа— Wоrk wіth vаst dаtаsets generаted by оver а mіllіоn dаіly vіsіts, uncоverіng vаluаble іnsіghts.
• Cоllаbоrаtіve Аnаlytіcs Teаm— Jоіn а teаm оf 30+ skіlled аnаlysts whо аctіvely shаre knоwledge аnd suppоrt eаch оther.
• Cuttіng-Edge Tооls & Technіques— Get hаnds-оn experіence wіth ML, Bаyesіаn methоds, аnd LLMs tо sоlve reаl busіness chаllenges.
• Dаtа-Drіven Culture— Thrіve іn аn envіrоnment where dаtа іnfоrms every decіsіоn аnd drіves cоntіnuоus іmprоvement.

Perks аnd Benefіts

• Tіme оff thrоughоut the yeаr (pаіd аnd unpаіd)
• Prоfessіоnаl develоpment suppоrt аnd encоurаgement
• Resоurces tо help іmprоve yоur оverаll well-beіng

Department: Data Platform
Reports to: Data Engineering Lead
Employment Type: Full Time
Work Model: Fully Remote
Location: Remote EMEA

 

About Traffic Label

Traffic Label is a fast-growing, data-driven technology company operating in the iGaming and affiliate marketing space, building scalable products focused on performance, analytics, and automation across global markets.

What we’re building
We’re building a Customer Data Platform: one unified player profile across our group of brands. The platform should help the business:

 

• Improve acquisition. Understand who actually converts, and why others don’
• Increase conversion. Replace generic flows with journeys built for the specific player in front of us.
• Segment players properly. Who’s a high-value player? Who’s at risk of leaving? Who’s a VIP?
• Reactivate before churn. Spot players who are about to leave and bring them back with offers that match what they actually want.

Tech stack:

• Snowflake (with Snowpipe and Cortex Analyst LLM agent).
• dbt, Python.
• Airflow (Astronomer), AWS (S3, Lambda), Terraform, GitHub Actions.
• Omni BI on top. Reverse ETL into marketing platforms.
• Medallion architecture: bronze, silver, gold.

We’re early in the build, and the person we hire helps shape the foundation.

Role Overview
You sit between the business (Product Owner, stakeholders) and the engineering team.
About 30% of your time is practical data work: validating that CDP capabilities behave as specified, exploring data before specs are written, testing hypotheses for new capabilities, building shared gold layer models that consumer teams use, and helping those teams understand what data is available. It is not business reporting or analytics built for individual brands.

The other 70% is Systems Analysis: turning what you find into specs engineers can build from, owning data quality from symptom to root cause, raising what isn’t right before it ships, and shaping the semantic layer so other business lines can find and trust the data.

Four things define the systems analysis side:

1. Turn business intent into specs that engineers can build from. Talk to stakeholders, figure out what they actually need, and write it down. Each spec covers source schema, target model, transformation logic, business glossary, schedule, data quality checks, consumer, and use case. Stay reachable through development. Engineers will have questions.
2. Find and fix data quality problems at the root, alongside the engineering function. Trace lineage, identify the cause, work with the data source owner on the fix, check downstream impact, and close the loop.
3. Confirm what’s delivered does what we said it would. Validate against the spec you wrote. When the data isn’t right, you raise it before it ships.
4. Make data usable beyond the team that asked for it. Contribute to the semantic layer, data descriptions, and shared definitions so other business lines can find what they need, understand what it means, and trust it without going through you each time.

You work on the Data Platform layer: CDP build, identity resolution, data quality, semantic definitions, and governance. Business analytics on top of the platform, such as dashboards and performance reports for specific brands, is produced by analyst teams aligned to those brands. Your job is to make sure those teams can do theirs: trustworthy data, clear definitions, fast issue resolution.

The team
You sit within the Data Platform alongside:

• A Product Owner who sets the roadmap and business priorities.
• The Data Engineering function. Your manager (Data Engineering Lead) and the engineers building the platform.
• Embedded QA function. Owns automated validation.
• Shared DevOps across the wider organisation.

Where you’ll start
Identity resolution. Deterministic matching is already running in our MDM across five data sources. You extend coverage to the remaining sources and validate match quality at scale. The harder cases are future scope: hashed identifiers without keys, duplicates across sources, device and behaviour signals. They start when we add dedicated ML engineering capacity, with no committed timeline yet. You’ll own the spec and acceptance for that work when it begins.

Skills & Experience

• SQL. Expert level. Window functions, complex joins, and root cause investigation on large datasets.
• dbt. Practical experience. You can write models, write tests, and debug them.
• Python. Comfortable for ad hoc analysis, scripting, and data manipulation.
• Confident across the modern data stack. You investigate problems yourself instead of waiting for DE, and you can explain the root cause to the business in plain language.
• Medallion or layered data architectures.
• You’ve written specifications that engineers built from.
• You’ve owned a data quality problem from “something looks off” to “fixed at source”.
• You can talk to business stakeholders and a backend engineer in the same hour without losing either of them.
• Background in iGaming, affiliate marketing, SaaS, or other high-volume digital businesses.
• Experience unifying customer or user profiles across sources, sometimes called Customer 360 or Single Customer View. Angles: identity matching, semantic modelling, etc.

What We Offer

• Opportunity to work on scalable, high-impact products in a growing iGaming business
• Collaborative and fast-paced engineering environment
• Exposure to modern technologies and architecture
• Competitive salary and performance-based incentives
• Flexible working environment and supportive team culture

We’re Applyft — an IT product company which creates value-driven mobile and web apps. Our journey began with the Geozilla family locator product, but now our portfolio consists of 8 apps in Family Safety, Parental Control and AI.

In 2025, we launched a new direction — Finestro, an AI-powered educational app that helps people master AI, improve their financial well-being, and unlock new growth opportunities.

Today, Finestro is powered by a team of 30+ talented professionals, and we continue to grow. We’re looking for people who want to contribute to building an innovative EdTech product that truly impacts users’ lives.

Now we are looking for a Middle/Senior Marketing Data Analyst to support analytics across user acquisition and marketing performance.

About you:

• Strong SQL skills (BigQuery or similar).
• Solid understanding of marketing metrics: CAC, LTV, ROI/ROMI, payback.
• Experience working with large-scale datasets (transaction-level, event-level).
• Strong analytical thinking and ability to translate data into business insights.
• Experience with BI tools (Tableau/Looker Studio).
• Ability to work with attribution data and marketing sources (Meta, Google Ads, etc.).
•  

What you’ll do:

• Analyze marketing performance across different channels (Meta, Google, etc.).
• Work with core datasets (spend, revenue, LTV, attribution).
• Transform marketing data into clear, actionable decisions for scaling.
• Analyze traffic quality, channel performance, and unit economics.
• Identify growth opportunities and initiate data-driven improvements.
• Work with LTV forecasts, payback periods, and scaling scenarios.
•  

Nice to have:

• Experience with subscription-based products.
• Experience with payment data (Stripe, PayPal, refunds, chargebacks).
• Python skills.
• Familiarity with ML models and data science.
• Experience with Amplitude, AppsFlyer.

We are building one of the most powerful live-streaming platforms, already connecting 400K+ monthly active users through live events, interactive video chats, and real-time community experiences. Our mission is bold: bring joy, fight loneliness, and deliver safe, ad-free entertainment that keeps people coming back.
This is a complex, fast-moving space, and we love it that way! So, you will join a passionate, expert team tackling everything from scaling AI-powered recommendations to launching high-impact, data-driven features that boost monetization and engagement. Every idea counts here, and every release reaches a massive global audience.
We are now expanding into Arab countries and Europe, enhancing content quality, and rolling out new features to keep users hooked. We are among the Top 5 streaming products in the US and rank in the Top 10 worldwide. Our next milestone: break into the global Top 5, and we are moving fast to make it happen

About the role: In this role, you will turn numbers into insights, ensuring our marketing stays sharp and effective. From analysing campaign efficiency to connecting marketing and product analytics, you’ll spot growth opportunities and track performance with precision. Your work will directly influence data-driven decisions, keeping our marketing activities stable, scalable, and impactful. With strong results, you’ll also have the opportunity to grow in seniority and potentially lead the department in the future.

In this role, you will

• Analyze paid marketing campaigns across multiple channels, regions, creatives
• Build regular reports and provide ad-hoc analytics on marketing effectiveness (CAC, ROI, LTV, attribution).
• Connect marketing data with product metrics to measure the true business impact of campaigns.
• Monitor marketing funnel health and detect anomalies or drops in performance.
• Collaborate with product analysts, marketers, and data engineers to improve data pipelines and tracking.
• Provide actionable insights and recommendations to optimize campaigns and budget allocation.

It’s all about you

• Experience collaborating with marketing and product teams to monitor key performance metrics, identify anomalies or performance issues, and communicate actionable insights to managers for decision-making.
• Strong SQL
• Strong problem identification skills with critical thinking and a clear understanding of cause-and-effect relationships.
• Proficiency in BI tools (Tableau, Looker, or similar).
• Solid understanding of marketing metrics (CAC, ROI, LTV, ARPU, retention) and attribution models (last-click, multi-touch)
• Good communication skills to translate complex findings into business recommendations

Would be a plus

• Familiarity with Python and basic understanding of ML
• Usage of AI tools (ChatGPT, Claude AI, Gemini, etc) on a daily basis

What we offer

Care and support:

• 20 paid vacation days, 15 sick days, and 6 additional days off for family events
• Up to 10 additional days off for public holidays
• 100% medical insurance coverage
• Sports and equipment reimbursement
• Team building events, corporate gifts, and stylish merch
• Financial and legal support
• Position retention and support for those who join the Armed Forces of Ukraine
• Participation in social initiatives supporting Ukraine

Comfortable working environment:

• Work from our Kyiv hub or remotely with a flexible schedule
• Workspace rental reimbursement in other cities and abroad
• Modern equipment or depreciation of your own tools

Investment in your future:

• Collaborate with a highly-skilled team of Middle & Senior professionals, sharing practical cases and expertise in the social networking niche
• 70% of our heads and leads have grown into their roles here — so can you!
• Performance-oriented reviews and Individual Development Plans (IDPs)
• Reimbursement for professional courses and English classes
• Corporate library, book club, and knowledge-sharing events

Hiring process

• Intro call
• Technical interview
• Reference check
• Offer